3D Pose Estimation
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Benchmarks
Human3.6M
Google-AR
Google-Yoga
ApolloCar3D
CarFusion
HARPER
K2HPD
Most implemented
Deep High-Resolution Representation Learning for Human Pose Estimation
A simple yet effective baseline for 3d human pose estimation
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
BlazePose: On-device Real-time Body Pose tracking
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
VIBE: Video Inference for Human Body Pose and Shape Estimation
Papers
Sound-based Multi-Person 3D Pose Estimation
Can we recover the 3D poses of multiple people using only sound? This paper presents the first attempt to estimate multi-person 3D poses solely from acoustic signals. Estimating the poses of multiple individuals using ac…
3D Pose EstimationHOME: Robust Hough-space Matching Method for Structured and Textureless Videos
Visual front-ends for robotic localization typically rely on point-based features such as Oriented FAST and Rotated BRIEF (ORB), which frequently fail in structured environments dominated by strong linear structures or t…
Homography Estimation3D Pose EstimationCalTennis: Large Multi-View Tennis Video Dataset and Benchmark of Monocular-to-3D Pose Estimation
The Caltech Tennis Dataset (CalTennis) is a large-scale video benchmark for evaluating monocular-to-3D pose estimation in the wild. CalTennis comprises over 11 million frames (51 hours) of tennis practice and match play …
3D Pose EstimationSPARK: Low Latency Single-Camera 3D Pose Estimation for Autonomous Racing using Keypoints
In autonomous racing, fast detection of other participants' movements is required to plan safe, collision-free trajectories with non-cooperative opponents. LiDAR detection is inherently slower and harder to deploy on edg…
3D Pose EstimationKeypoint DetectionObject TrackingQuantitative Movement Testing: Measuring Chronic Pain Patient Movements from a Single Smartphone Video
Chronic pain diminishes quality of life by decreasing functional ability, yet objectively measuring this functional impact remains challenging in real-world settings. While optical motion capture provides high precision …
3D Pose EstimationSOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models
Measuring structured object understanding in vision foundation models remains challenging due to inconsistent evaluation protocols and limited part-level supervision. Semantic correspondence (SC) evaluates this capabilit…
Semantic correspondence3D Pose EstimationImage Matching